Tag
#MIT Schwarzman College of Computing
-
-
Building networks of data science talent
-
AI learns how vision and sound are connected, without human intervention
-
Learning how to predict rare kinds of failures
-
With AI, researchers predict the location of virtually any protein within a human cell
-
Study shows vision-language models can’t handle queries with negation words
-
Hybrid AI model crafts smooth, high-quality videos in seconds
-
New tool evaluates progress in reinforcement learning
-
Novel AI model inspired by neural dynamics from the brain
-
Making AI models more trustworthy for high-stakes settings
-
The MIT-Portugal Program enters Phase 4
-
Merging design and computer science in creative ways
-
Designing a new way to optimize complex coordinated systems
-
“Periodic table of machine learning” could fuel AI discovery
-
3D modeling you can feel
-
MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
-
Making AI-generated code more accurate in any language
-
A faster way to solve complex planning problems
-
Training LLMs to self-detoxify their language
-
New method efficiently safeguards sensitive AI training data
-
Could LLMs help design our next medicines and materials?
-
New method assesses and improves the reliability of radiologists’ diagnostic reports
-
Researchers teach LLMs to solve complex planning challenges
-
For this computer scientist, MIT Open Learning was the start of a life-changing journey
-
MIT Maritime Consortium sets sail
-
AI tool generates high-quality images faster than state-of-the-art approaches
-
Robotic helper making mistakes? Just nudge it in the right direction
-
Markus Buehler receives 2025 Washington Award
-
Like human brains, large language models reason about diverse data in a general way
-
AI model deciphers the code in proteins that tells them where to go
-
Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
-
Can deep learning transform heart failure prevention?
-
Creating a common language
-
Validation technique could help scientists make more accurate forecasts
-
User-friendly system can help developers build more efficient simulations and AI models
-
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
-
Expanding robot perception
-
Toward video generative models of the molecular world
-
Explained: Generative AI’s environmental impact
-
Teaching AI to communicate sounds like humans do
-
Ecologists find computer vision models’ blind spots in retrieving wildlife images
-
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
-
Lara Ozkan named 2025 Marshall Scholar
-
Teaching a robot its limits, to complete open-ended tasks safely
-
AI in health should be regulated, but don’t forget about the algorithms, researchers say
-
Researchers reduce bias in AI models while preserving or improving accuracy
-
Enabling AI to explain its predictions in plain language
-
Daniela Rus wins John Scott Award
-
Citation tool offers a new approach to trustworthy AI-generated content
-
MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16
-
A new way to create realistic 3D shapes using generative AI
-
Photonic processor could enable ultrafast AI computations with extreme energy efficiency
-
Improving health, one machine learning system at a time
-
MIT researchers develop an efficient way to train more reliable AI agents
-
Advancing urban tree monitoring with AI-powered digital twins
-
Can robots learn from machine dreams?
-
3 Questions: Inverting the problem of design
-
A causal theory for studying the cause-and-effect relationships of genes
-
A portable light system that can digitize everyday objects
-
Nanoscale transistors could enable more efficient electronics
-
A faster, better way to train general-purpose robots
-
Making it easier to verify an AI model’s responses
-
Combining next-token prediction and video diffusion in computer vision and robotics
-
How AI is improving simulations with smarter sampling techniques
-
AI pareidolia: Can machines spot faces in inanimate objects?
-
Helping robots zero in on the objects that matter
-
New security protocol shields data from attackers during cloud-based computation
-
3 Questions: Should we label AI systems like we do prescription drugs?
-
Study: AI could lead to inconsistent outcomes in home surveillance
-
Enhancing LLM collaboration for smarter, more efficient solutions
-
A fast and flexible approach to help doctors annotate medical scans
-
A framework for solving parabolic partial differential equations
-
LLMs develop their own understanding of reality as their language abilities improve
-
MIT researchers use large language models to flag problems in complex systems
-
Helping robots practice skills independently to adapt to unfamiliar environments
-
Precision home robots learn with real-to-sim-to-real
-
Method prevents an AI model from being overconfident about wrong answers
-
Study: When allocating scarce resources with AI, randomization can improve fairness
-
MIT researchers advance automated interpretability in AI models
-
AI model identifies certain breast tumor stages likely to progress to invasive cancer